Evidence map›Paper›PMID 40027926›Full record

ArticleOne health (Amsterdam, Netherlands)2025

Analysis of antibiotic use and access to drugs among poultry farmers in Kenya.

Dishon M Muloi, Mitchelle R Kasudi, Maurice K Murungi, Eugine Lusanji Ibayi, Samuel Kahariri, Charity Karimi, Max Korir, Bridgit Muasa, Damaris Mwololo, Romona Ndanyi and 7 more

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Dishon M MuloiInternational Livestock Research Institute, Nairobi, Kenya.
Mitchelle R KasudiInternational Livestock Research Institute, Nairobi, Kenya.
Maurice K MurungiInternational Livestock Research Institute, Nairobi, Kenya.
Eugine Lusanji IbayiInternational Livestock Research Institute, Nairobi, Kenya.
Samuel KahaririDirectorate of Veterinary Services, Ministry of Agriculture, Livestock, Fisheries, and Cooperatives, Kenya.
Charity KarimiVeterinary Medicines Directorate, Kenya.
Max KorirInternational Livestock Research Institute, Nairobi, Kenya.
Bridgit MuasaDirectorate of Veterinary Services, Ministry of Agriculture, Livestock, Fisheries, and Cooperatives, Kenya.
Damaris MwololoDirectorate of Veterinary Services, Ministry of Agriculture, Livestock, Fisheries, and Cooperatives, Kenya.
Romona NdanyiDirectorate of Veterinary Services, Ministry of Agriculture, Livestock, Fisheries, and Cooperatives, Kenya.
Robert NdungiVeterinary Medicines Directorate, Kenya.
Jane NjiruVeterinary Medicines Directorate, Kenya.
Ruth OmaniPaul G. Allen School for Global Health, Washington State University, Pullman, WA, USA.
Rose OwadaVeterinary Medicines Directorate, Kenya.
Sylvia OmuloPaul G. Allen School for Global Health, Washington State University, Pullman, WA, USA.
Allan AzegeleDirectorate of Veterinary Services, Ministry of Agriculture, Livestock, Fisheries, and Cooperatives, Kenya.
Eric M FèvreInternational Livestock Research Institute, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding access to and use of antibiotics in livestock production systems is critical for guiding antimicrobial stewardship programmes and animal health services. We analysed antibiotic use practices among smallholder-intensive poultry farms in Kenya and characterised access to veterinary supply chains by calculating travel time to drug stores. Data were collected from 766 poultry farms across 15 Kenyan counties, representing all production types, between May 2021 and February 2022. We also collected antibiotic sales and geolocation data from 321 veterinary drug stores in Nakuru and Kilifi counties, representing areas with high and low-intensity poultry production, respectively. Using a machine learning framework, we predicted farm-level antibiotic use based on collected demographic and production traits. We also built geospatial models to characterise farmer travel time to drug stores with motorised transport. Half of farms used antibiotics at least once in the last two months, mostly for self-administered therapeutic reasons. Random forest analysis predicted that farms using disinfectants in cleaning, keeping other poultry species, with rodents in the chicken house and vaccinating their birds had the highest likelihood of antibiotic use. 95.4 % of farmers lived within one hour of a veterinary drug store, with 40 % residing within 15 min. Antibiotic use is integrated in smallholder poultry production, emphasising the need for prioritizing biosecurity, regulatory and socio-behavioural interventions, and economic incentives to enhance stewardship. Spatial maps suggests both risks and opportunities for antibiotic access and veterinary care.

Indexed as

Antibiotic accessAntibiotic usePoultrySmall-holder farmsVeterinary drug stores

Identifiers

PMID40027926
PMCPMC11870182

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.